Title :
BRDF behaviour of a tropical forest surveyed from space
Author :
Gastellu-Etchegorry, J.P. ; Demarez, V. ; Trichon, V. ; Ducrot, D. ; Zagolski, F.
Author_Institution :
Centre d´´Etudes Spatiales de la BIOsphere, CNRS, Toulouse, France
Abstract :
Survey of tropical forest evolution and functioning with remote sensing is hampered by the variability of their BRDF (bi-directional reflectance distribution function); e.g. automatic classifications may be totally erroneous if view and illumination conditions are not taken into account. The authors used a new radiative transfer model (DART, Discrete Anisotropic Radiative Transfer) to analyze BRDF behaviour of a tropical forest plot in Central Sumatra, Indonesia. Simulations stressed that BRDF anisotropy, especially for low Sun zenith angles (θs), may be large enough to make difficult the study of forest evolution with satellite data time series. Variations were up to 30% for VIS (visible), 20% for NIR (near infrared) and 25% for SWIR (short wave infrared), for viewing zenith angles (θv) smaller than 25°. Larger variations occurred in the hot spot configuration and for variable Sun zenith angles θs: up to 50% for VIS, 30% for NIR, 40% for SWIR, whereas local topography and diffuse atmospheric radiation (SKYL) had a much smaller influence. On the other hand, variations due to a 50% cover degradation were 14% for VIS, 23% for NIR and 18% for SWIR at nadir and θs=35
Keywords :
forestry; geophysical techniques; remote sensing; BRDF; DART; Discrete Anisotropic Radiative Transfer; Indonesia; Sumatra; Sun zenith angle; bidirectional reflectance distribution function; geophysical measurement technique; illumination conditions; infrared; optical imaging; radiative transfer model; satellite remote sensing; solar elevation; tropical forest; vegetation mapping; viewing zenith angle; visible; Anisotropic magnetoresistance; Bidirectional control; Degradation; Distribution functions; Lighting; Reflectivity; Remote sensing; Satellites; Sun; Surfaces;
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
DOI :
10.1109/IGARSS.1997.608949